• Build custom web applications on .NET 8 backends with React 19 / Next.js 15 frontends
• Design and implement Azure SQL database schemas, RESTful API layers, and integration endpoints
• Build structured approval workflows, document generation pipelines, and real-time analytics dashboards
• Integrate with third-party platforms via REST APIs (CRM systems, DocuSign, payment processors)
• Implement Azure AD B2C authentication, role-based access control, and security best practices

• Deploy and manage containerized applications using Docker, Docker Compose, and Azure Container Instances
• Write and maintain Azure Bicep IaC templates for provisioning cloud resources (ACR, Key Vault, Storage Accounts, ACI)
• Build and maintain Azure DevOps CI/CD pipelines for automated builds, testing, and deployments
• Configure nginx reverse proxies with path-based routing, WebSocket support, and streaming/SSE passthrough
• Manage Cloudflare DNS, SSL/TLS, and edge security configurations

• Build and maintain MCP (Model Context Protocol) servers that enable AI agents to interact with authenticated external services
• Design and build n8n workflows that orchestrate multi-step business processes, API integrations, and AI agent pipelines
• Develop AI-powered chat interfaces and agent systems using LLM APIs
• Contribute to internal tooling that accelerates team productivity through intelligent automation

• Build bidirectional API integrations (e.g., CRM sync, webhook listeners, retry logic with exponential backoff)
• Implement OAuth 2.0 authentication flows for third-party service connections
• Design data synchronization strategies with conflict resolution and audit trails
• Work with platforms including Atlassian (Jira/Confluence), Zoho CRM, ClientSpace, and DocuSign

What We're Looking For

• 3+ years of professional software engineering experience
• Strong proficiency in TypeScript/JavaScript and Node.js
• Experience with React and modern frontend frameworks (Next.js preferred)
• Backend development experience with .NET (C#) and NestJS — you should be comfortable working across both ecosystems for API development, service architecture, and integration layers
• Working knowledge of SQL databases (schema design, query optimization, migrations)
• Experience with Docker and containerized application deployment
• Familiarity with Git version control and pull request workflows
• Comfort with REST API design, implementation, and integration
• Firm understanding of Sequential Script Automation vs. Reasoning-Based Automation — you should know when a workflow calls for deterministic, step-by-step scripted execution versus when to leverage LLM-driven agents that reason through decisions, evaluate context, and dynamically select tools or actions. Knowing which approach fits the problem is as important as knowing how to build either one.

• Active, daily use of AI-assisted development tools such as Cursor, Windsurf, Claude Code, GitHub Copilot, or similar
• Applied understanding of LLMs and thinking models — not just prompting, but knowing when to use which model, how to structure context, and how to critically evaluate AI-generated output
• Ability to use AI tools for architecture exploration, code generation, debugging, test writing, and documentation — while maintaining ownership of quality and correctness
• Experience or strong interest in agentic AI workflows — multi-step processes where AI agents interact with tools, APIs, and data sources autonomously
• Working knowledge of the Model Context Protocol (MCP) — understanding how MCP servers expose tools, resources, and prompts to AI agents. Ability to author custom MCP servers that wrap third-party APIs and services, enabling AI agents to interact with authenticated external systems as structured tool interfaces
• Familiarity with OpenAPI / Swagger specifications — ability to read, write, and leverage OpenAPI definitions for rapid API integration, client generation, and as a foundation for building MCP server tool schemas
• Critical thinking about AI output: you know when to trust it, when to verify, and when to throw it away and think for yourself

• Experience with Microsoft Azure services (or equivalent cloud platform with willingness to learn Azure)
• Familiarity with Infrastructure as Code concepts (Bicep, Terraform, ARM templates, or similar)
• Understanding of CI/CD pipelines and automated deployment workflows
• Basic understanding of networking (reverse proxies, DNS, SSL/TLS, CORS)

• Experience with n8n, Make (Integromat), Zapier, or similar workflow automation platforms
• Experience building or consuming MCP servers or similar protocol-based tool interfaces
• Experience with Playwright or other browser automation frameworks
• Familiarity with the Atlassian ecosystem (Jira, Confluence APIs)
• Experience with Azure DevOps (Pipelines, Repos, Boards)
• Knowledge of Redis caching, SendGrid email services, or Cloudflare configuration
• Experience with document generation (PDF rendering, template engines, e-signature APIs)
• Background in consulting, agency, or client-facing delivery environments

• AI-First Development: You'll be expected to use AI tools daily — not as a crutch, but as a lever. We care about output quality and velocity, and we expect you to use every tool at your disposal to maximize both.
• Small Team, Big Impact: We're a lean team where each engineer owns significant surface area. You'll have autonomy, but you'll also need to be self-directed and communicative.
• Client-Facing Delivery: You'll contribute to projects with real stakeholders, real deadlines, and real business impact. Clear communication and professional delivery matter.
• Documentation Culture: We maintain living documentation in Confluence, inline code comments for complex logic, and comprehensive READMEs. You'll be expected to contribute.

• Hotfix & Outage Support: Responding to critical production issues that require immediate investigation and resolution outside of standard business hours.
• Evening Build Releases: Occasional evening deployment windows for coordinated releases to Production or UAT environments, particularly when client-facing downtime must be minimized.